Name
Abstract | ||
|---|---|---|
Passive radars relying on signals of opportunity enable new applications based on stealth tracking of targets without the need of radar signals emissions. Long term evolution (LTE) base stations employing orthogonal frequency division multiplexing (OFDM) signals are excellent candidates as illuminators of opportunity thanks to their wide availability. The tracking accuracy of such passive radars depends on prior knowledge (e.g., the wireless environment) and signal processing (e.g., clutter mitigation and tracking algorithm). This paper proposes passive radar systems exploiting LTE base stations as illuminators of opportunity to detect and track moving targets in a monitored environment. We analyze such systems based on a Bayesian framework for detection of moving targets and estimation of their position and velocity. A case study accounting for the LTE extended pedestrian model is presented, with various settings in terms of network configuration, wireless propagation, and signal processing. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICCW.2014.6881193 | Communications Workshops |
Keywords | Field | DocType |
Bayes methods,Long Term Evolution,OFDM modulation,object detection,passive radar,radar clutter,radar detection,radar signal processing,radar tracking,target tracking,Bayesian framework,LTE,base stations,clutter mitigation,monitored environment,network configuration,orthogonal frequency division multiplexing,passive radar,pedestrian model,radar signals emissions,signal processing,signals of opportunity,target stealth tracking,tracking accuracy,tracking algorithm,wireless environment,wireless propagation,Bayesian estimation,LTE,Passive radar,signals of opportunity,tracking | Radar engineering details,Pulse-Doppler radar,Radar tracker,Computer science,Real-time computing,Low probability of intercept radar,3D radar,Passive radar,Fire-control radar,Radar configurations and types | Conference |
ISSN | Citations | PageRank |
2164-7038 | 8 | 0.70 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stefania Bartoletti | 1 | 8 | 0.70 |
| Andrea Conti | 2 | 1594 | 106.05 |
| Moe Z. Win | 3 | 2225 | 196.12 |